Journal-first submissions deadline
8 Aug
Priority submissions deadline 30 Jul
Final abstract submissions deadline 15 Oct
Manuscripts due for FastTrack publication
30 Nov

Early registration ends 31 Dec

Short Courses
11-14 Jan
Symposium begins
17 Jan
All proceedings manuscripts due
31 Jan

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3D Imaging and Applications 2022 Program

  • Below is the the program in San Francisco time.
  • Talks are to be presented live during the times noted and will be recorded. The recordings may be viewed at your convenience, as often as you like, until 15 May 2022.

Monday 17 January 2022

IS&T Welcome & PLENARY: Quanta Image Sensors: Counting Photons Is the New Game in Town

07:00 – 08:10

The Quanta Image Sensor (QIS) was conceived as a different image sensor—one that counts photoelectrons one at a time using millions or billions of specialized pixels read out at high frame rate with computation imaging used to create gray scale images. QIS devices have been implemented in a CMOS image sensor (CIS) baseline room-temperature technology without using avalanche multiplication, and also with SPAD arrays. This plenary details the QIS concept, how it has been implemented in CIS and in SPADs, and what the major differences are. Applications that can be disrupted or enabled by this technology are also discussed, including smartphone, where CIS-QIS technology could even be employed in just a few years.

Eric R. Fossum, Dartmouth College (United States)

Eric R. Fossum is best known for the invention of the CMOS image sensor “camera-on-a-chip” used in billions of cameras. He is a solid-state image sensor device physicist and engineer, and his career has included academic and government research, and entrepreneurial leadership. At Dartmouth he is a professor of engineering and vice provost for entrepreneurship and technology transfer. Fossum received the 2017 Queen Elizabeth Prize from HRH Prince Charles, considered by many as the Nobel Prize of Engineering “for the creation of digital imaging sensors,” along with three others. He was inducted into the National Inventors Hall of Fame, and elected to the National Academy of Engineering among other honors including a recent Emmy Award. He has published more than 300 technical papers and holds more than 175 US patents. He co-founded several startups and co-founded the International Image Sensor Society (IISS), serving as its first president. He is a Fellow of IEEE and OSA.

08:10 – 08:40 EI 2022 Welcome Reception

Wednesday 19 January 2022

IS&T Awards & PLENARY: In situ Mobility for Planetary Exploration: Progress and Challenges

07:00 – 08:15

This year saw exciting milestones in planetary exploration with the successful landing of the Perseverance Mars rover, followed by its operation and the successful technology demonstration of the Ingenuity helicopter, the first heavier-than-air aircraft ever to fly on another planetary body. This plenary highlights new technologies used in this mission, including precision landing for Perseverance, a vision coprocessor, new algorithms for faster rover traverse, and the ingredients of the helicopter. It concludes with a survey of challenges for future planetary mobility systems, particularly for Mars, Earth’s moon, and Saturn’s moon, Titan.

Larry Matthies, Jet Propulsion Laboratory (United States)

Larry Matthies received his PhD in computer science from Carnegie Mellon University (1989), before joining JPL, where he has supervised the Computer Vision Group for 21 years, the past two coordinating internal technology investments in the Mars office. His research interests include 3-D perception, state estimation, terrain classification, and dynamic scene analysis for autonomous navigation of unmanned vehicles on Earth and in space. He has been a principal investigator in many programs involving robot vision and has initiated new technology developments that impacted every US Mars surface mission since 1997, including visual navigation algorithms for rovers, map matching algorithms for precision landers, and autonomous navigation hardware and software architectures for rotorcraft. He is a Fellow of the IEEE and was a joint winner in 2008 of the IEEE’s Robotics and Automation Award for his contributions to robotic space exploration.

EI 2022 Interactive Poster Session

08:20 – 09:20
EI Symposium

Poster interactive session for all conferences authors and attendees.

Acquisition and Processing

Session Chair: Tyler Bell, University of Iowa (United States)
09:30 – 10:35
Red Room

Conference Introduction

Investigation of demosaicing effect on digital image correlation method: A case study on paintings with natural texture [PRESENTATION-ONLY], Athanasia Papanikolaou, Malgorzata Kujawinska, and Piotr Garbat, Politechnika Warszawska (Poland) [view abstract]


Pose estimation of teeth in pathological dental models, Maxime Chapuis1,2, Mathieu Lafourcade1, William Puech1, Noura Faraj1, and Gérard Guillerm2; 1Université de Montpellier and 2Groupe Orqual (France) [view abstract]


Segmentation in application to deformation analysis of cultural heritage surfaces, Sunita Saha and Robert Sitnik, Warsaw University of Technology (Poland) [view abstract]


Analysis and Compression

Session Chair: William Puech, Laboratory d’Informatique de Robotique et de Microelectronique de Montpellier (France)
10:50 – 11:50
Red Room

Scale-adaptive local intentional surface feature detection, Yujian Xu1, Matthew Gaubatz2, Stephen Pollard2, Robert Ulichney1, and Jan P. Allebach1; 1Purdue University and 2HP Labs (United States) [view abstract]


Feature-driven 3D range geometry compression via spatially-aware depth encoding, Broderick S. Schwartz, Matthew G. Finley, and Tyler Bell, University of Iowa (United States) [view abstract]


Quality analysis of point cloud coding solutions, Joao Prazeres1,2, Manuela Pereira1,2, and Antonio Pinheiro1,2; 1Universidade da Beira Interior (U.B.I.) and 2Instituto de Telecomunicacoes (Portugal) [view abstract]


Processing and Applications

Session Chair: Robert Sitnik, Warsaw University of Technology (Poland)
15:00 – 16:00
Red Room

Hand authentication from RGB-D video based on deep neural network, Ryogo Miyazaki1, Kazuya Sasaki2, Norimichi Tsumura1, and Keita Hirai1; 1Chiba University and 2MagikEye (Japan) [view abstract]


A 3D subtractive brush system for an immersive, multilayered archaeological map, Mike Yeates, Maxime Cordeil, and Tom Chandler, Monash University (Australia) [view abstract]


Design of ghost-free aerial display by using prism and dihedral corner reflector array, Yuto Osada and Yue Bao, Tokyo City University (Japan) [view abstract]


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